HGMDA: HyperGraph for Predicting MiRNA-Disease Association.
Qing-Wen WuYu-Tian WangZhen GaoMing-Wen ZhangJian-Cheng NiChun-Hou ZhengPublished in: ICIC (2) (2019)
Keyphrases
- gene function
- gene expression
- complex diseases
- genome wide
- gene sets
- computational methods
- secondary structure
- gene ontology
- regulatory networks
- genome wide association studies
- differentially expressed genes
- microarray data analysis
- microarray
- binding sites
- differentially expressed
- expression profiles
- microarray data
- gene regulation
- textual information
- gene expression data
- high throughput
- gene regulatory networks
- protein protein interactions
- data sets
- signaling pathways
- statistical significance
- pairwise
- microarray datasets
- human genome
- systems biology
- structural features
- sequence data
- semantic similarity
- ovarian cancer
- statistical methods